TY - JOUR
T1 - Constitutive Analysis of the Deformation Behavior of Al-Mg-Si Alloy Under Various Forming Conditions Using Several Modeling Approaches
AU - Alzahrani, Bandar
AU - Abd El-Aty, Ali
AU - Xu, Yong
AU - Hou, Yong
AU - Zhang, Shi Hong
AU - Ali, Alamry
AU - Ahmed, Mohamed M.Z.
AU - Shokry, Abdallah
N1 - Publisher Copyright:
© 2025 by the authors.
PY - 2025/3
Y1 - 2025/3
N2 - The hot-flow behaviors of Al-Mg-Si alloy are complex because they depend on (Formula presented.), (Formula presented.), and (Formula presented.). Hence, it is vital to understand and determine the Al-Mg-Si alloy’s flow behaviors under several deformation conditions. Therefore, in this study, Crystal Plasticity (CP) modeling, modified Zerilli–Armstrong (MZA), and two JC models were developed to precisely determine the hot deformation behaviors of this alloy. The reliability and predictability of these models were evaluated via comparisons of the determined and experimental results acquired in the (Formula presented.) range of 10−3 to 1 s−1 and (Formula presented.) range of 400–550 °C. Additionally, statistical parameters including the RMSE, AARE, and R were utilized to assess these models’ reliability for determining this alloy’s flow behaviors under several forming conditions. By analyzing these statistical parameters and comparing the predicted and experimental stresses, it can be concluded that the flow stresses predicted by the CP modeling and S2-MJC model exhibit a strong alignment with the experimental flow stresses. This contrasts with the results from the MZA and S1-MJC models. These results are attributed to the ability of CP modeling to couple the microstructure state of this alloy and the interactions between (Formula presented.) and (Formula presented.) on the one hand and between (Formula presented.), (Formula presented.), and (Formula presented.) on the other hand, facilitated by a comprehensive set of parameters that link the dynamic recovery and softening mechanisms components in the S2‐MJC model.
AB - The hot-flow behaviors of Al-Mg-Si alloy are complex because they depend on (Formula presented.), (Formula presented.), and (Formula presented.). Hence, it is vital to understand and determine the Al-Mg-Si alloy’s flow behaviors under several deformation conditions. Therefore, in this study, Crystal Plasticity (CP) modeling, modified Zerilli–Armstrong (MZA), and two JC models were developed to precisely determine the hot deformation behaviors of this alloy. The reliability and predictability of these models were evaluated via comparisons of the determined and experimental results acquired in the (Formula presented.) range of 10−3 to 1 s−1 and (Formula presented.) range of 400–550 °C. Additionally, statistical parameters including the RMSE, AARE, and R were utilized to assess these models’ reliability for determining this alloy’s flow behaviors under several forming conditions. By analyzing these statistical parameters and comparing the predicted and experimental stresses, it can be concluded that the flow stresses predicted by the CP modeling and S2-MJC model exhibit a strong alignment with the experimental flow stresses. This contrasts with the results from the MZA and S1-MJC models. These results are attributed to the ability of CP modeling to couple the microstructure state of this alloy and the interactions between (Formula presented.) and (Formula presented.) on the one hand and between (Formula presented.), (Formula presented.), and (Formula presented.) on the other hand, facilitated by a comprehensive set of parameters that link the dynamic recovery and softening mechanisms components in the S2‐MJC model.
KW - Crystal Plasticity modeling
KW - deformation behavior
KW - elevated temperatures
KW - phenomenological models
KW - physical models
KW - strain rate
UR - https://www.scopus.com/pages/publications/86000611429
U2 - 10.3390/ma18051121
DO - 10.3390/ma18051121
M3 - Article
AN - SCOPUS:86000611429
SN - 1996-1944
VL - 18
JO - Materials
JF - Materials
IS - 5
M1 - 1121
ER -